Unlocking the cooling effect of urban green spaces is an effective strategy to mitigate urban heat islands and extreme heat exposure. However, the cooling potential of optimized green configurations in riparian buffer zones remains largely unknown. In this study, we integrated land surface temperature (LST) data derived from remote sensing, machine learning models, and scenario analysis method to quantify the potential effects of green space configurations in different riparian buffer zones (30–